Hybrid Classification Model For The Reverse Code Generation
Software Engineering
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The abstract-present is the model of software engineering which is used to generate the source code from the sequence model. The code that is generated for the one phase will be given as input to generate code for the second phase. To generate reliable code, the improvement will be proposed in the abstract-present model. To do so, the SVM classifier will be used to classify required and non-required code to generate the next phase of code. The proposed model for the software defect prediction is the hybrid type of model. The proposed model is implemented in python and results are analyzed in t...
The abstract-present is the model of software engineering which is used to generate the source code from the sequence model. The code that is generated for the one phase will be given as input to generate code for the second phase. To generate reliable code, the improvement will be proposed in the abstract-present model. To do so, the SVM classifier will be used to classify required and non-required code to generate the next phase of code. The proposed model for the software defect prediction is the hybrid type of model. The proposed model is implemented in python and results are analyzed in terms of accuracy and execution time. It is analyzed that the hybrid model performs well as compared to the existing model for software defect prediction.
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